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Faridghr/README.md

Hi there, I'm Farid Ghorbani 👋

I'm an MSIS student at Northeastern University with a passion for solving complex problems. My problem-solving and critical thinking skills were developed through the Iranian National Olympiad in Information, where I ranked among the top 70 from 11 thousand participants.

Beyond my academic achievements, I bring hands-on experience in scripting and programming languages such as C++, Java, and Python, as well as web development technologies including JavaScript and React, with a focus on areas like Machine Learning, Data Mining, Web Scraping, Software Testing, and Software Development. I've applied these skills during two years as a Junior Data Scientist and a Quality Assurance Internship.

Feel free to explore my projects below and connect with me for opportunities to collaborate or discuss potential roles.

Data Science Projects

  • FraudDetectivePy: The goal of this project is twofold: first, to understand how an imbalanced dataset can impact the analysis and results of credit card fraud detection; and second, to evaluate the effectiveness of different classification models and techniques aimed at enhancing the accuracy and reliability of fraud detection systems.
  • ProductScraper: This project scrapes product information from the Digikala e-commerce website to extract details about available laptops, such as price, model, CPU, GPU, RAM, screen size, etc. The extracted data is stored in a MySQL database using the mysql library. Additionally, the project includes a simple machine learning model built with scikit-learn for predicting laptop prices based on user input configurations.
  • Data Mining HorseColic: Using data mining techniques, including data preprocessing, feature selection, model training, and evaluation, the project seeks to uncover patterns and relationships within the dataset to improve prediction accuracy.
  • WirelessChurnPrediction: This project aims to predict wireless account churn and identify key features driving churn. It is a collaborative effort between data scientists to develop a machine learning model that can help maintain and grow the revenue generating base by taking proactive measures to retain customers.

Visualization Projects

  • Human Resources Analytics: HR Dashboard Project using Tableau to visualize key HR metrics, demographics, and salary insights. The project simulates real-world HR data analysis, providing high-level overviews and detailed employee records for better decision-making.
  • Sales Performance: Two dashboards using tableau to help stakeholders, including sales managers and executives to analyze sales performance and customers.
  • Netflix Infographic: A dynamic data visualization project that explores Netflix movies across various dimensions such as country filmed, release date, genre, ratings, frequent cast members, and directors.
  • Airbnb Market Insights: Tableau visualizations and data analytics project using Airbnb listings data to identify key market trends, optimal investment locations, and strategies for maximizing rental income.

Software Development Projects

  • DesignPatterns-RestaurantOrdering: This project is a practical exploration of design patterns, applied to a restaurant ordering system. It demonstrates how design patterns can be used to solve real-world software design challenges, resulting in a system that is flexible, scalable, and maintainable. The project utilizes multiple design patterns, including Singleton, Factory, Builder, Strategy, Composite, Adapter, Decorator, and Observer, to create a robust and extensible solution.
  • BookShare Hub: BookShare Hub is a Java Swing-based application designed to create a community-driven platform for book sharing. It allows users to lend and borrow books from each other, promoting a culture of literature sharing.

Generative AI Projects

  • AutoBuddy: In this project, we aim to develop a domain-specific chatbot application that utilizes a Large Language Model (LLM) for natural language understanding and processing, combined with the efficiency and scalability of a vector database for data storage and retrieval. The application will implement the Advanced Retrieval-Augmented Generation (RAG) method to enhance the chatbot's ability to provide accurate and relevant responses by integrating retrieved information with generative AI capabilities. We also fine-tune GPT-4o-mini in this project with related data to achieve optimal performance.
  • Evaluate RAG Pipeline: The aim of this project is to evaluate the performance of the RAG pipeline and explore methods to enhance its metrics. This project includes a Python notebook and a report file, which document the evaluation process and present an improved version of our RAG chatbot.
  • Simple RAG Chatbot: The goal of this project is to develop a domain-specific application that combines the strengths of a Large Language Model (LLM) with the efficiency of a vector database for data storage and retrieval. Using Retrieval-Augmented Generation (RAG) for the method and Streamlit for the front-end, the application is built with Python.

Python Tutorial

  • Image Filters: Image Filters is a Python project that offers a collection of creative filters for image manipulation using the OpenCV library. Each filter applies a specific transformation to the input image, resulting in visually distinct outputs.
  • Python Pandas Tutorials: This repository contains a collection of tutorials to help you master the Pandas library, a powerful tool for data manipulation and analysis in Python.
  • Python Matplotlib Tutorials: This repository contains a collection of tutorials to help you master Matplotlib, a versatile library for creating static, animated, and interactive visualizations in Python.
  • Python NumPy Tutorials: This repository contains a collection of tutorials to help you master the NumPy library, a fundamental package for scientific computing and data manipulation in Python.

⚡ Languages and Technologies

C++ Java Python scikit-learn PyTorch TensorFlow Keras Pandas NumPy Selenium JavaScript React HTML5 CSS3 MySQL MongoDB Tableau

Pinned Loading

  1. FraudDetectivePy FraudDetectivePy Public

    Python-based supervised machine learning project.

    Jupyter Notebook 2

  2. ProductScraper ProductScraper Public

    Python software for extracting, storing product information and creating a laptop price prediction model from an ecommerce website.

    Python 2

  3. WirelessChurnPrediction WirelessChurnPrediction Public

    The repository contains comprehensive assessment reports and Jupyter Notebook files aimed at addressing key questions related to predicting wireless churn and identifying the features driving churn.

    Jupyter Notebook 1

  4. horse-survival-data-mining horse-survival-data-mining Public

    This data mining project focuses on predicting the survival outcome of horses based on various health-related features and attributes.

    Jupyter Notebook 1

  5. Image-Filters Image-Filters Public

    This Python project implements four different image filters using the OpenCV library.

    Python 2